DeepSegments is a tool for generating ground-truth segmentations for use in deep learning segmentation models. It provides a simple method for researchers to quickly segment their datasets. Users can choose from two different segmentation methods, SLIC and graph cuts. The program will make label suggestions by propagating user-given labels to unlabeled portions. Label suggestions can be given by an unsupervised k-means algorithm or a user-supplied pre-trained model.